Title :
Input-to-State Stability for Nonlinear Model Predictive Control
Author :
Magni, L. ; Raimondo, D.M. ; Scattolini, R.
Author_Institution :
Dipt. di Informatica e Sistemistica, Universita´´ di Pavia
Abstract :
In this paper regional input-to-state stability (ISS) is introduced and studied in order to analyze the domain of attraction of nonlinear constrained systems with disturbances. ISS is derived by means of a non smooth ISS-Lyapunov function with an upper bound guaranteed only in a sub-region of the domain of attraction. These results are used to study the ISS properties of nonlinear model predictive control (MPC) algorithms
Keywords :
Lyapunov methods; nonlinear control systems; predictive control; stability; Lyapunov function; input-to-state stability; nonlinear constrained systems; nonlinear model predictive control; Control system synthesis; Control systems; Nonlinear control systems; Nonlinear systems; Open loop systems; Predictive control; Predictive models; Robust stability; Robustness; Stability analysis;
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
DOI :
10.1109/CDC.2006.376750
